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Emily Erikson's picture

Networks, Institutional Transformation, and Emergence

Social networks are fluid and interstitial social objects. When social networks link otherwise distinct social groups, they often fundamentally transform those groups and the societies they are a part of. My research focuses on how networks are implicated in the process by which new institutions emerge and old institutions change shape.

Sekhar Tatikonda's picture

Network Optimization: Local Decisions Lead to Global Consequences

Soon, many network optimization problems will involve each node in the network making decisions to achieve a global objective.  Does the decision maker at a node need to know the structure of the whole network? Or is it sufficient to only know a small local neighborhood? The complexity of a network algorithm grows with the size of the local neighborhood.

Dirk Bergemann's picture

Information, Interdependence, and Interaction: Where Does the Volatility Come From?

The model analyzes the interactive behavior of  agents who chose their individual action, a, based on their private preference, θ, and the average action of the other agents, A:

a = (1-r)θ +rA

We allow each agent to be uncertain about his own preference and the preferences (and hence action) of others.

We seek to understand how equilibrium behavior is relative to the nature of the private information of the agents.

We derive implications regarding how strongly the average choice can react to a shock in the average preferences.

David G. Rand's picture

Social Networks Can Be Used to Increase Human Cooperation

The Conundrum of Cooperative Behavior

Cooperation is central to the success of human societies and it is widespread, but social and biological scientists have long pondered how it can persist in the face of possible exploitation. One answer involves networked interactions and population structure. People often have control over whom they interact with, and interaction patterns change over time. This creates a new form of conditional action: people can change their network structure, not just their own cooperation behavior.

Olav Sorenson's picture

Networks Can Explain Who Profits and How Industries Survive

Social relationships influence individuals’ and organizations’ access to information and resources. The patterns of relationships connecting actors therefore can help to explain both who profits and the evolution of industries. With various coauthors, I have explored a number of inter-related issues.

Economic Geography

Lecture Videos

YINS Distinguished Lecturer Ron Breiger, "Community Detection: Beyond Community Structure"

YINS Distinguished Lecturer Anna Nagurney, "Supply Chain Networks Against Time: From Food to Pharma"

March 25, 2014

Emotions spread through Facebook

Professor of Social and Natural Science Nicholas Christakis ’84 researches the ways in which networks impact behavior, health, and longevity. In a recent study released this month in the journal PLOS ONE, Christakis, along with researchers from the University of California and Facebook Inc., discovered that emotions spread through the social networking site just like other phenomena such as disease spread through real networks of people. After analyzing over a billion Facebook statuses, the researchers discovered that positive posts, on average, resulted in 1.75 more positive posts from friends, and negative posts generated 1.29 further negative posts. At Yale, Christakis co-directs the Yale Institute for Network Science (YINS), which opened last summer. The News spoke with Christakis on Monday about the network of emotions on Facebook and how studying network interactions can improve public policy.

YINS
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Our History

Network phenomena are now studied in many disciplines, including engineering, computer science, sociology, economics, political science, biology, physics, medicine, public health, and management. Hence, the study of networks is dramatically transforming scientific fields traversing Engineering and the Social and Natural Sciences.

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